Smart Gas Platform Noise Control Through Adaptive Flow Monitoring
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Solution Overview
Problem
Existing noise reduction technologies for gas field stations primarily focus on mitigating already generated noise rather than addressing its root causes, failing to effectively manage noise pollution due to the complexity and variability of gas transmission environments, which affects the health and well-being of staff and residents.
Innovation Solution
A smart gas platform-based Internet of Things (IoT) system that utilizes sound sensors to monitor noise data, determines noise change features, and adjusts target operating parameters, such as gas flow rates, to proactively control noise generation by stabilizing noise conditions and reducing impurity accumulation in pipelines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high-speed gas flow is maintained for efficient gas transmission, then productivity is improved, but noise pollution increases
Solution Approach 1:
The system performs preliminary action by monitoring noise levels and predicting impurity accumulation trends before they cause severe noise pollution. The smart platform analyzes noise change features and proactively adjusts gas flow rates or schedules pipeline maintenance to prevent excessive impurity buildup that would generate harmful noise, thus maintaining efficient gas transmission without severe noise pollution.
Solution Approach 2:
The system implements feedback by continuously monitoring noise data from sound sensors, analyzing noise change features, and using this information to adjust gas flow rates or maintenance schedules. The smart platform creates a closed-loop control system where noise monitoring results feed back into operational decisions, enabling dynamic optimization of gas transmission efficiency while controlling noise pollution levels.
2Productivity
If gas flow rate is increased for better transmission efficiency, then productivity is improved, but noise generation increases
Solution Approach 1:
The system applies dynamics by enabling dynamic adjustment of gas flow rates based on real-time noise monitoring and impurity accumulation predictions. The smart platform continuously adapts operational parameters according to actual pipeline conditions, allowing gas flow rate to be optimized dynamically rather than fixed, thus achieving high transmission efficiency while controlling noise generation through adaptive flow management.
3Object-generated harmful factors
If traditional noise reduction methods like sound-deadening materials are used, then noise pollution is reduced, but device complexity and cost increase
Solution Approach 1:
The system replaces mechanical noise control methods (sound-deadening materials, noise-reducing pipelines) with an intelligent information-based system. The smart platform uses noise monitoring, data analysis, and predictive algorithms to control noise pollution by managing gas flow rates and maintenance schedules, substituting physical noise barriers with a smart control system that addresses the root causes of noise generation.
Solution Approach 2:
The system implements self-service by enabling the pipeline network to self-monitor and self-regulate its noise levels. The smart platform automatically collects noise data, analyzes noise change features, predicts impurity accumulation, and adjusts operational parameters without requiring external intervention or complex manual control systems, thus reducing overall system complexity while effectively controlling noise pollution.
4Productivity
If pipeline maintenance is delayed to maintain continuous operation, then productivity is improved, but impurity accumulation increases causing more noise
Solution Approach 1:
The system performs preliminary action by predicting impurity accumulation trends through noise analysis before impurities reach levels that cause severe noise pollution. The smart platform identifies optimal maintenance timing in advance, allowing scheduled maintenance to be performed just before critical impurity accumulation occurs, thus maintaining continuous operation efficiency while preventing excessive noise from impurity buildup.
Solution Approach 2:
The system implements feedback by using noise monitoring data to provide real-time information about impurity accumulation rates. This feedback enables dynamic optimization of maintenance schedules, allowing the system to extend operation periods between maintenances when impurity accumulation is slow while scheduling maintenance earlier when accumulation rates increase, thus maximizing productivity while controlling noise pollution.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively reduces noise pollution by stabilizing gas flow rates and minimizing impurity accumulation, thereby improving the health and safety of personnel and surrounding communities while maintaining efficient gas pipeline operations.
Implementation Method 1
obtaining noise data of a gas field station through a sound sensor
Data Source
AI summary
The present disclosure provides a method for noise control based on a smart gas platform, wherein the method is executed by a smart gas safety management platform of an Internet of Things (IoT) system for noise control based on the smart gas platform, comprising: obtaining noise data of a gas field station through a sound sensor, the sound sensor being arranged at least one monitoring position of the gas field station, and any one monitoring position having a corresponding monitoring period; determining noise change features of the at least one monitoring position based on the noise data; and determining target operating parameters of the gas field station based on the noise change features, the target operating parameters including a target gas flow rate of a gas pipeline in the gas field station.